Triple

T18156517
Position Surface form Disambiguated ID Type / Status
Subject Tabac E434644 entity
Predicate hasBarrierType P53911 FINISHED
Object concrete barriers LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: concrete barriers | Statement: [Tabac, hasBarrierType, concrete barriers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBarrierType
Context triple: [Tabac, hasBarrierType, concrete barriers]
  • A. isBarrierTo
    Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
  • B. typicalBarrierType chosen
    Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
  • C. hasObstacleType
    Indicates that an entity is associated with or characterized by a specific type or category of obstacle.
  • D. hasTicketBarrier
    Indicates that an access-controlled barrier or gate is present, typically requiring a valid ticket or pass to pass through.
  • E. hasBoundaryType
    Indicates that one entity has a boundary characterized by a specific type or classification in relation to another entity or context.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debe27a88190bd76c6f78fcf1bd1 completed April 19, 2026, 1:55 p.m.
PD Predicate disambiguation batch_69e4331baeb88190b21f50a98c36c78e completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:30 a.m.